Waste crime in Italian Regions: A Structural Equation Approach
| Autor: | Filippo Reganati, Antonio Pergolizzi, Rosanna Pittiglio, Roberto Dell'Anno |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
PLS-SEM
Least mean square algorithm Waste crime Economics and Econometrics 021103 operations research Index (economics) Strategy and Management Structural equation modeling Environmental crimes 05 social sciences Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology Latent variable Management Science and Operations Research 0502 economics and business Statistics 050207 economics Statistics Probability and Uncertainty Mathematics |
| Zdroj: | Socio-Economic Planning Sciences. 71:100751 |
| ISSN: | 0038-0121 |
| DOI: | 10.1016/j.seps.2019.100751 |
| Popis: | The main aim of this paper is to analyze the determinants of waste crime in Italy by employing a Structural Equation Approach estimated by the Partial Least Square algorithm (PLS-SEM). By treating waste crime as a latent variable that is directly related to its causes and effects, the PLS-SEM methodology allows us to derive a Waste Crime Index (WCI) at the regional level over the period from 2004 to 2016. This analysis decomposes the overall effects of each cause of WCI from the direct and indirect components. Accordingly, we provide some hints to design more effective policies to prevent waste crime. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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